Preliminary methylation analysis of prothymosin α genomic sequences

2012 ◽  
Vol 90 (4) ◽  
pp. 596-601 ◽  
Author(s):  
Leoncio Álvarez-Fernández ◽  
Jaime Gómez-Márquez

Prothymosin α is a mammalian nuclear protein involved in cell proliferation and differentiation. Here, we carried out the first study of the methylation status of ProTα genomic sequences in cell lines during differentiation as well as in tumoral tissues. We found that there is hypermethylation in all cell lines analyzed with a pattern that is characteristic of each cell type revealing specific genomic reorganizations. The decrease of ProTα mRNA during differentiation was not accompanied by changes in the methylation status. Remarkably, we found that there is hypomethylation in gastrointestinal tumors when compared with the peritumoral tissue. The biological implications of these findings are discussed.

2019 ◽  
Vol 44 (4) ◽  
pp. 510-516
Author(s):  
Türkan Çakar ◽  
Ayten Kandilci

Abstract Objective DEK is ubiquitously expressed and encodes a nuclear protein, which is also released from some cells. Overexpression of DEK suppresses proliferation of some blood cell progenitors whereas it increases proliferation of epithelial tumors. We showed that DEK is overexpressed in BM cells of 12% of multiple myeloma (MM) patients. Here, we aimed to test if DEK overexpression effects the proliferation and viability of BM stromal cells or MM cells co-cultured with DEK-overexpressing stromal cells, mimicking the BM microenvironment. Methods DEK is stably overexpressed in the BM stromal cell line HS27A. Periodic growth curve and fluorescent activated cell sorting (FACS) analysis was performed to determine the effect of DEK overexpression on HS27A cells and MM cell lines (RPMI-8226 and U266) that are co-cultured with these HS27A cells. Results We showed that, on the contrary to blood progenitors or ephitelial cells, DEK overexpression doesn’t alter the viability or proliferation of the HS27A cells, or the MM cell lines which are co-cultured with DEK-overexpressing HS27A cells. Conclusions Our results suggest that effect of DEK overexpression on the proliferation is cell type and context dependent and increased DEK expression is tolerable by the stromal cells and the co-cultured MM cell lines without effecting proliferation and viability.


Blood ◽  
1991 ◽  
Vol 78 (11) ◽  
pp. 3012-3020 ◽  
Author(s):  
H Hirvonen ◽  
V Hukkanen ◽  
TT Salmi ◽  
TP Makela ◽  
TT Pelliniemi ◽  
...  

Abstract The myc proto-oncogenes encode nuclear phosphoproteins, which are believed to participate in the control of cell proliferation and differentiation. Deregulated expression of c-myc has been implicated in several human hematopoietic malignancies. We have studied the expression and mRNA processing of human L-myc, N-myc, and c-myc genes in a panel of human leukemias, leukemia cell lines, and normal hematopoietic cells. L-myc mRNA was expressed in three acute myeloid leukemias (AML) studied and in several myeloid leukemia cell lines. Only low expression levels were observed in adult bone marrow and in fetal spleen and thymus. The K562 and Dami leukemia cell lines showed a unique pattern of L-myc mRNA processing, with approximately 40% of L- myc mRNA lacking exon III and intron I. N-myc was expressed in five of six AML cases studied, in one of nine acute lymphocytic leukemia (ALL) cases, and in several leukemia cell lines, while c-myc mRNA was detected in all leukemias and leukemia cell lines studied. Coexpression of all three myc genes was observed in Dami and MOLT-4 cell lines and in two AMLs, and either L-myc or N-myc was coexpressed with c-myc in several other cases. These results show that in addition to c-myc, the L-myc and N-myc genes are expressed in some human leukemias and leukemia cell lines, and suggest a lack of mutually exclusive cross- regulation of the myc genes in human leukemia cells.


1998 ◽  
Vol 331 (3) ◽  
pp. 753-761 ◽  
Author(s):  
Pilar RODRÍGUEZ ◽  
Juan E. VIÑUELA ◽  
Leoncio ÁLVAREZ-FERNÁNDEZ ◽  
Montserrat BUCETA ◽  
Anxo VIDAL ◽  
...  

Prothymosin α (ProTα) is an acidic nuclear protein the expression of which is related to the proliferation and differentiation processes in mammalian cells. In the present study we have stably transfected HL-60 cells, a biological system that allows the study of both proliferation and differentiation, with recombinant vectors encoding sense and antisense ProTα mRNA. In the HL-60 cell clones overexpressing ProTα we observed an acceleration in the growth rate, whereas expression of the antisense orientation showed the opposite effect. Moreover, cell-cycle analysis demonstrated that the G1-phase was shortened in the cells expressing the sense construct. Before studying how ProTα affects differentiation, we showed that the down-regulation of ProTα gene during differentiation occurs in all mammalian cell lines (HL-60, K562, U937, MEL C88, N2A and PC12) analysed. The biological effect evoked by the induction of the ProTα sense vector was the retardation of cell differentiation, although expression of the antisense construct showed no effect on differentiation. In conclusion, our findings provide evidence that ProTα is directly implicated in cellular proliferation and that the maintenance of high levels of ProTα inside HL-60 cells is incompatible with their ability to differentiate.


PPAR Research ◽  
2007 ◽  
Vol 2007 ◽  
pp. 1-10 ◽  
Author(s):  
A. Cimini ◽  
L. Cristiano ◽  
E. Benedetti ◽  
B. D'Angelo ◽  
M. P. Cerù

PPAR isotypes are involved in the regulation of cell proliferation, death, and differentiation, with different roles and mechanisms depending on the specific isotype and ligand and on the differentiated, undifferentiated, or transformed status of the cell. Differentiation stimuli are integrated by key transcription factors which regulate specific sets of specialized genes to allow proliferative cells to exit the cell cycle and acquire specialized functions. The main differentiation programs known to be controlled by PPARs both during development and in the adult are placental differentiation, adipogenesis, osteoblast differentiation, skin differentiation, and gut differentiation. PPARs may also be involved in the differentiation of macrophages, brain, and breast. However, their functions in this cell type and organs still awaits further elucidation. PPARs may be involved in cell proliferation and differentiation processes of neural stem cells (NSC). To this aim, in this work the expression of the three PPAR isotypes and RXRs in NSC has been investigated.


Author(s):  
Lajmi Lakhal-Chaieb ◽  
Celia M.T. Greenwood ◽  
Mohamed Ouhourane ◽  
Kaiqiong Zhao ◽  
Belkacem Abdous ◽  
...  

AbstractWe consider the assessment of DNA methylation profiles for sequencing-derived data from a single cell type or from cell lines. We derive a kernel smoothed EM-algorithm, capable of analyzing an entire chromosome at once, and to simultaneously correct for experimental errors arising from either the pre-treatment steps or from the sequencing stage and to take into account spatial correlations between DNA methylation profiles at neighbouring CpG sites. The outcomes of our algorithm are then used to (i) call the true methylation status at each CpG site, (ii) provide accurate smoothed estimates of DNA methylation levels, and (iii) detect differentially methylated regions. Simulations show that the proposed methodology outperforms existing analysis methods that either ignore the correlation between DNA methylation profiles at neighbouring CpG sites or do not correct for errors. The use of the proposed inference procedure is illustrated through the analysis of a publicly available data set from a cell line of induced pluripotent H9 human embryonic stem cells and also a data set where methylation measures were obtained for a small genomic region in three different immune cell types separated from whole blood.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3389-3389
Author(s):  
Jonathan I Sive ◽  
Andrew Feber ◽  
Dean Smith ◽  
John Quinn ◽  
Stephan Beck ◽  
...  

Abstract Multiple myeloma (MM) may be classified according to D-type cyclin dysregulation. Amongst nonhyperdiploid cases, those with IgH translocations t(4;14) or t(14;16) express high levels of cyclin D2, and those with t(11;14) express elevated cyclin D1. Although translocation-based subgroups may behave differently, cyclin D2 dysregulated disease tends to progress with more proliferative disease and poorer outcomes compared to cyclin D1. The importance of methylation status has been described in MM, with the transition from MGUS to symptomatic MM characterised by global hypomethylation, and gene-specific hypermethylation differences between cytogenetic subtypes. To investigate the utility of methylation profiling between D1 and D2-dysregulated MM, we carried out a pilot study of global methylation changes between these groups. Primary bone marrow samples were collected from eight cyclin D1 patients with t(11;14), and eight D2 patients (four t(4;14) and four t(14;16)), and CD138+ cells purified by magnet-assisted selection. Following bisulfite conversion, samples were processed on llumina Infinium human methylation27 arrays. Methylation was classified with a beta score between 0 (unmethylated) and 1 (methylated). Initial analysis was performed using Illumina GenomeStudio, and subsequently with the Limma package in R. Differentially methylated probes were corrected for false discovery rate (FDR), with a threshold of 0.01 considered significant. Survival analyses were calculated from the date of sampling. Unsupervised clustering split the samples into two groups (group 1 and group2), which did not match with D-cyclin status, but did show clear differences in clinical course. Survival analysis between groups 1 and 2 showed trends toward differences in median overall survival (61.7 vs 11.9 months, p=0.06) and progression free survival (24.4 vs 7.2 months, p=0.34). Although not significant at the p<0.05 threshold, the survival curves suggest a difference that may become clearer in a larger cohort. Analysis of the probes between these groups revealed 1379 methylation variable positions (MVPs) which were significantly different. Interestingly, almost all of these (1376/1379) were hypermethylated in the poorer outcome Group 2. This suggests a difference in methylation status between two prognostic groups which warrants further investigation. We then went on to perform supervised clustering between the samples, splitting them into two groups (D1 and D2) based on their cyclin D status. This analysis did not reveal any MVPs even at a less stringent FDR-adjusted threshold of 0.05. However, we did observe that of the top 20 differentially methylated probes three were for the CCND1 gene, which in all cases showed relative hypomethylation in the cyclin D1 dysregulated samples. Other genes of potential interest with relative hypomethylation in the cyclin D1 group were DAB2 which has previously been reported to be hypermethylated in the t(4;14) OPM2 cell line, and AK3L1 – a kinase which interestingly, has been reported as showing vulnerability to targeted RNAi inhibition in two cyclin D2 dysregulated cell lines (KMS11 and JJN3). In this small cohort, although cyclin D1 vs cyclin D2 classification does not appear to be sufficient to define distinct methylation profiles, a group of genes with hypermethylation appears to be associated with poorer prognosis. The hypomethylation of CCND1 in cyclin D1 dyregulated samples, although below the significance threshold in this dataset, is consistent with previously described findings of CCND1 hypomethylation in t(11;14) cell lines, but our results in the D2 MM samples differ from previous reports of hypomethylation in all nonhyperdiploid primary samples. We intend to investigate this further and extend this analysis by prospective sampling and methylation analysis on a larger cohort of patients treated on a standard protocol. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 435-435
Author(s):  
Matko Kalac ◽  
Enrica Marchi ◽  
Luigi Scotto ◽  
Jennifer Amengual ◽  
Venkatraman Seshan ◽  
...  

Abstract Abstract 435 Diffuse large B-cell lymphoma (DLBCL) is the most common type of lymphoid malignancy, representing approximately 30–40% of all lymphomas. While significant progress has been made in treating this disease over the past decade, it is still regarded as a heterogeneous disease which, after being classified as relapsed or refractory, is fatal in about one-third of patients. Histone deacetylase inhibitors (HDACI) are presently approved for the treatment of relapsed or refractory cutaneous T- cell lymphomas (CTCL), and have marked activity in peripheral T-cell lymphomas (PTCL), though their effectiveness in DLBCL is less established. DNA methyltransferases (DNMTs) are known to recruit and cooperate with histone deacetylases to induce gene silencing. Combinations of drugs affecting these pathways have emerged as active and important, mostly in myeloid leukemias. We hypothesized that the combination of HDACI and DNMT inhibitors (DNMTI) in DLBCL may be active only in combination and not as single agents. We examined the interaction between a broad range of HDACI including vorinostat, depsipeptide, panobinostat and DNMTI using in vivo and in vitro models of DLBCLs, clearly confirming that these agents are in fact synergistic with decitabine. Synergy was measured by relative risk ratio (RRR) and the values obtained were as low as 0.01, representing very strong synergy. This combination of drugs, specifically panobinostat and decitabine, was also shown to be strongly synergistic in a murine xenograft model of DLBCL. In addition, we analyzed the molecular basis for this synergistic effect by evaluating the global gene expression and methylation using microarrays on the cells treated with the single agents and combination in DLBCL. Three DLBCL lines (OCI-Ly1, OCI-Ly10 and Su-DHL6) were treated with decitabine alone (2.5 μ M), panobinostat alone (2.5 nM) or their combination for 48h hours. DNA and RNA from untreated and treated cells were used for genome wide methylation analysis through Illumina Humanmethyation27 platform and gene expression profiling analysis with Illumina HumanHT-12 v3 Expression arrays. 3D principal component analysis clearly clustered the samples treated with panobinostat and combination therapy together and at greater distances from untreated samples and samples treated by decitabine alone. Therefore, the contribution to the gene expression phenotype of the combination was greater from the HDACI than with DNMTI. Consistent with this observation, the top network of genes differentially expressed (p<0.05) by panobinostat involved critical transcription factors like GATA1, GATA4, SMAD and DNMT3A. Additionally, network-functional analysis of genes perturbed by the combination treatments enriched for critical pathways involved in cell death, cell development and cellular proliferation. Surprisingly, differentially expressed genes and networks identified by each of the treatment conditions and by combination therapy were unique with few overlapping genes as shown in Venn diagram in Figure 1a. Genome wide methylation analysis produced similar results with greater contribution to global methylation changes in cells treated by the combination therapy and decitabine as compared to HDACI. Again, methylation status of a distinct set of genes was altered by combination therapy as compared to the individual drugs (Figure 1b). Correlation between genome wide methylation analysis and gene expression profiling identified 16 overlapping genes in the samples treated by the combination of panobinostat and decitabine including known tumor suppressor genes like VHL, DIRAS3 and WT1. Taken together, integrative genomic analysis has provided insights into the relative contribution of independent epigenetic therapies to the combination phenotype. These findings may provide important leads in identifying unique biomarkers of response specific to the combination of panobinostat and decitabine in DLBCL. Figure 1. Venn diagrams of the overlap in differentially expressed genes (p<0.05) between the three treatment groups: a) Panobinostat (LBH), Decitabine (DAC) and their combination (L D) affect the expression of distinct sets of genes in DLBCL cell lines; b) LBH, DAC and their combination affect the methylation status of distinct sets of genes in DLBCL cell lines. Figure 1. Venn diagrams of the overlap in differentially expressed genes (p<0.05) between the three treatment groups: a) Panobinostat (LBH), Decitabine (DAC) and their combination (L D) affect the expression of distinct sets of genes in DLBCL cell lines; b) LBH, DAC and their combination affect the methylation status of distinct sets of genes in DLBCL cell lines. Disclosure: O'Connor: Millennium Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
1991 ◽  
Vol 78 (11) ◽  
pp. 3012-3020
Author(s):  
H Hirvonen ◽  
V Hukkanen ◽  
TT Salmi ◽  
TP Makela ◽  
TT Pelliniemi ◽  
...  

The myc proto-oncogenes encode nuclear phosphoproteins, which are believed to participate in the control of cell proliferation and differentiation. Deregulated expression of c-myc has been implicated in several human hematopoietic malignancies. We have studied the expression and mRNA processing of human L-myc, N-myc, and c-myc genes in a panel of human leukemias, leukemia cell lines, and normal hematopoietic cells. L-myc mRNA was expressed in three acute myeloid leukemias (AML) studied and in several myeloid leukemia cell lines. Only low expression levels were observed in adult bone marrow and in fetal spleen and thymus. The K562 and Dami leukemia cell lines showed a unique pattern of L-myc mRNA processing, with approximately 40% of L- myc mRNA lacking exon III and intron I. N-myc was expressed in five of six AML cases studied, in one of nine acute lymphocytic leukemia (ALL) cases, and in several leukemia cell lines, while c-myc mRNA was detected in all leukemias and leukemia cell lines studied. Coexpression of all three myc genes was observed in Dami and MOLT-4 cell lines and in two AMLs, and either L-myc or N-myc was coexpressed with c-myc in several other cases. These results show that in addition to c-myc, the L-myc and N-myc genes are expressed in some human leukemias and leukemia cell lines, and suggest a lack of mutually exclusive cross- regulation of the myc genes in human leukemia cells.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 3443-3443 ◽  
Author(s):  
Yasuhiro Oki ◽  
Jaroslav Jelinek ◽  
Lanlan Shen ◽  
Jean-Pierre Issa

Abstract Interstitial deletion or loss of chromosome 5 is a frequent chromosomal abnormality in myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Previous studies uncovered a 1.5–2Mb region on 5q31.1 to be a common deleted region (CDR) in those diseases. It is believed that there exists one or more of critical tumor suppressor gene(s) in this CDR. Mutation analysis, however, failed to identify target gene(s). With a hypothesis that epigenetic silencing may play a significant role as a “second hit” in MDS/AML, we performed a comprehensive methylation analysis of genes in this CDR on 5q31.1. Among 25 genes that are located in this region (SPOCK-AF116688, covering CDR determined by Horrigan et al. Blood 2000 and Fang et al. Genomics 2000), 14 genes had promoter regions in CpG islands that were therefore susceptible to methylation dependent silencing. Methylation status of multiple CpG sites in promoter regions of these those 14 genes (SPOCK, HNRPA1, PKD2L2, C5orf5, KIF20A, GFRA3, CDC25C, C5orf6, JMJD1B, C5orf19, EGR1, ETF1, HSPA9B, CTNNA1, SIL1) was analyzed using bisulfite-PCR followed by pyrosequencing. Analyzed samples were 13 leukemic cell lines as well as peripheral blood mononuclear cells from 5 patients with AML with 5q deletion (5qAML), 9 AML without 5q deletion (non-5qAML), 17 MDS with 5q deletion (5qMDS), 9 MDS without 5q deletion (non-5qMDS) and 10 individuals without leukemia. Significant hypermethylation (&gt;15% by pyrosequencing) was observed in 5 genes in patient samples (SPOCK, PKD2L2, GFRA3, HSPA9B, and ETF1, see Table 1) and 3 other genes in cell lines only (CDC25C, C5orf19, CTNNA1). In 5qMDS, the most frequently methylated genes were ETF1 (5/17), GFRA3 (4/17), and HSPA9B (11/17), but HSPA9B also showed methylation in normal blood. We then evaluated the expression levels of 5 genes that showed significant methylation in patients’ samples using quantitative RT-PCR. SPOCK, PKD2L2, GFRA3 were not expressed in normal PBMC. HSPA9B expression levels did not correlate with the degree of methylation. On the other hand, ETF1 expression was inversely correlated with the degree of methylation. ETF1 is a eukaryotic translation termination factor, which plays a role in recognizing stop codon in mRNA and terminates translation. Based on specific hypermethylation and silencing in 5qMDS, we propose ETF1 as a candidate tumor suppressor gene in the 5q31.1 region. Functional analysis of ETF1 in leukemic cells is underway. Frequency of promoter CpG sites methylation Samples N SPOCK PKD2L2 GFRA3 HSPA9B ETF1 Cell lines 13 62% 46% 77% 38% 0% 5qAML 5 0% 0% 0% 20% 0% Non-5qAML 9 33% 0% 0% 0% 0% 5qMDS 17 6% 6% 24% 65% 29% Non-5qMDS 9 11% 11% 33% 33% 11% Normal 10 0% 0% 0% 90% 0%


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